医学
危险系数
全国健康与营养检查调查
四分位数
环境卫生
比例危险模型
队列
队列研究
置信区间
生命银行
内科学
人口
生物信息学
生物
作者
Yingying Zhao,Wei-Yi Chen,Jia Li,Jing Yi,Xuemei Song,Yuxin Ni,Sijia Zhu,Zhihao Zhang,Xiaosheng Lu,Jia Zhang,Shuaishuai Yang,Jing‐Jing Ni,Haojie Lu,Zhen Wang,Shaofa Nie,Li Liu
标识
DOI:10.1016/j.amepre.2023.09.005
摘要
Introduction
Given the increase in ultra-processed food (UPF) consumption, their potential health effects have aroused concern. Whether UPF consumption is associated with cancer and cardiovascular disease mortality is debatable. This study evaluates the association of UPF consumption with mortality. Methods
A total of 108,714 U.S. adults from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (1993–2001), 208,051 UK adults from UK Biobank (2006–2010), and 41,070 U.S. adults from National Health and Nutrition Examination Survey (1999–2018) were included. Dietary data were collected by dietary questionnaire and classified using the NOVA classification. UPF consumption was expressed as the weight proportion of UPFs in total foods consumed. Cox proportional hazard models were used to calculate hazard ratios and 95% CIs. Mediation analysis was used to evaluate whether multiple metabolic pathways mediated the associations in UK Biobank. Analyses were performed in 2022–2023. Results
Combined analyses of the three cohorts showed that those with the highest quartile of UPF consumption had higher risks of all-cause mortality (hazard ratio, 1.16; 95% CI, 1.11–1.20) and cardiovascular disease mortality (hazard ratio, 1.17; 95% CI, 1.06–1.28) compared to the lowest quartile of UPF consumption. UPF consumption was not associated with cancer mortality risk. Biomarkers of liver function have the greatest mediating effects on all-cause mortality (20.3%), and biomarkers of inflammation have the greatest mediating effects on cardiovascular disease mortality (29.2%). Conclusions
Higher UPF consumption was associated with increased all-cause and cardiovascular disease mortality risk, with multiple metabolic pathways playing mediating roles.
科研通智能强力驱动
Strongly Powered by AbleSci AI